12 citations · 13 across the 4 of their papers we have counts for
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cs.DS2023
Fast Private Kernel Density Estimation via Locality Sensitive Quantization
Tal Wagner, Yonatan Naamad, Nina Mishra
We study efficient mechanisms for differentially private kernel density estimation (DP-KDE). Prior work for the Gaussian kernel described algorithms that run in time exponential in…
cs.LG2023★ 1 cited
Explaining a machine learning decision to physicians via counterfactuals
Supriya Nagesh, Nina Mishra, Yonatan Naamad +3
Machine learning models perform well on several healthcare tasks and can help reduce the burden on the healthcare system. However, the lack of explainability is a major roadblock t…